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Customizing Pareto Simulated Annealing for Multi-objective Optimization of Control Cabinet Layout
Linnaeus Univ, Sweden.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
Cracow Univ Technol, Poland.
2019 (English)In: 2019 22ND INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS), IEEE COMPUTER SOC , 2019, p. 78-85Conference paper, Published paper (Refereed)
Abstract [en]

Determining the optimal location of control cabinet components requires the exploration of a large configuration space. For real-world control cabinets it is impractical to evaluate all possible cabinet configurations. Therefore, we need to apply methods for intelligent exploration of cabinet configuration space that enable to find a near-optimal configuration without evaluation of all possible configurations. In this paper, we describe an approach for multi-objective optimization of control cabinet layout that is based on Pareto Simulated Annealing. Optimization aims at minimizing the total wire length used for interconnection of components and the heat convection within the cabinet. We simulate heat convection to study the warm air flow within the control cabinet and determine the optimal position of components that generate heat during the operation. We evaluate and demonstrate the effectiveness of our approach empirically for various control cabinet sizes and usage scenarios.

Place, publisher, year, edition, pages
IEEE COMPUTER SOC , 2019. p. 78-85
Series
International Conference on Control Systems and Computer Science CSCS, ISSN 2379-0474
Keywords [en]
Control cabinet assembly; Pareto Simulated Annealing (PSA); Simulated Annealing (SA); multi-objective optimization
National Category
Robotics
Identifiers
URN: urn:nbn:se:liu:diva-161637DOI: 10.1109/CSCS.2019.00021ISI: 000491270300014ISBN: 978-1-7281-2331-8 (electronic)OAI: oai:DiVA.org:liu-161637DiVA, id: diva2:1367864
Conference
22nd International Conference on Control Systems and Computer Science (CSCS)
Note

Funding Agencies|Swedish Knowledge Foundation [20150088]

Available from: 2019-11-05 Created: 2019-11-05 Last updated: 2019-11-05

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf